{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d83b4037-6a21-4172-9c16-b7d0b845a604",
   "metadata": {},
   "source": [
    "Chapter 12\n",
    "# 各种三元组 (triads) 类型\n",
    "Book_6《数据有道》 | 鸢尾花书：从加减乘除到机器学习"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "defc57f9-a0a8-411b-a4e2-a3a503cd29d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "547779d1-7558-4593-9c91-90945f445c6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 16种三元组的名称\n",
    "list_triads = ('003', '012', '102', '021D', \n",
    "               '021U', '021C', '111D', '111U',\n",
    "               '030T', '030C', '201', '120D', \n",
    "               '120U', '120C', '210', '300')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "04fcfaff-46d0-4a68-849b-8e88d13e1801",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化\n",
    "\n",
    "fig, axes = plt.subplots(4, 4, figsize=(10, 10))\n",
    "\n",
    "for triad_i, ax in zip(list_triads, axes.flatten()):\n",
    "    G = nx.triad_graph(triad_i)\n",
    "    \n",
    "    # 绘制三元组\n",
    "    nx.draw_networkx(\n",
    "        G,\n",
    "        ax=ax,\n",
    "        with_labels=False,\n",
    "        node_size=58,\n",
    "        arrowsize=20,\n",
    "        width=0.25,\n",
    "        pos=nx.planar_layout(G))\n",
    "    \n",
    "    ax.set_xlim(val * 1.2 for val in ax.get_xlim())\n",
    "    ax.set_ylim(val * 1.2 for val in ax.get_ylim())\n",
    "    \n",
    "    # 增加三元组名称\n",
    "    ax.text(0,0,triad_i,\n",
    "        fontsize=15,\n",
    "        font = 'Roboto',\n",
    "        fontweight=\"light\",\n",
    "        horizontalalignment=\"center\")\n",
    "fig.tight_layout()\n",
    "plt.savefig('16种三元组.svg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0801d068-b731-4888-a095-cb403d7a3c92",
   "metadata": {},
   "source": [
    "## 第二种：完全自定义方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "62c26589-7760-4a00-b5c9-3607adbf41a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "triads = {\n",
    "    \"003\": [],\n",
    "    \"012\": [(1, 2)],\n",
    "    \"102\": [(1, 2), (2, 1)],\n",
    "    \"021D\": [(3, 1), (3, 2)],\n",
    "    \"021U\": [(1, 3), (2, 3)],\n",
    "    \"021C\": [(1, 3), (3, 2)],\n",
    "    \"111D\": [(1, 2), (2, 1), (3, 1)],\n",
    "    \"111U\": [(1, 2), (2, 1), (1, 3)],\n",
    "    \"030T\": [(1, 2), (3, 2), (1, 3)],\n",
    "    \"030C\": [(1, 3), (3, 2), (2, 1)],\n",
    "    \"201\": [(1, 2), (2, 1), (3, 1), (1, 3)],\n",
    "    \"120D\": [(1, 2), (2, 1), (3, 1), (3, 2)],\n",
    "    \"120U\": [(1, 2), (2, 1), (1, 3), (2, 3)],\n",
    "    \"120C\": [(1, 2), (2, 1), (1, 3), (3, 2)],\n",
    "    \"210\": [(1, 2), (2, 1), (1, 3), (3, 2), (2, 3)],\n",
    "    \"300\": [(1, 2), (2, 1), (2, 3), (3, 2), (1, 3), (3, 1)],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3f3473cd-17c7-4312-a18f-c3af4dd85814",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(4, 4, figsize=(10, 10))\n",
    "\n",
    "for (title, triad), ax in zip(triads.items(), axes.flatten()):\n",
    "    G = nx.DiGraph()\n",
    "    G.add_nodes_from([1, 2, 3])\n",
    "    G.add_edges_from(triad)\n",
    "    nx.draw_networkx(\n",
    "        G,\n",
    "        ax=ax,\n",
    "        with_labels=False,\n",
    "        node_size=58,\n",
    "        arrowsize=20,\n",
    "        width=0.25,\n",
    "        pos=nx.planar_layout(G))\n",
    "    \n",
    "    ax.set_xlim(val * 1.2 for val in ax.get_xlim())\n",
    "    ax.set_ylim(val * 1.2 for val in ax.get_ylim())\n",
    "    ax.text(0,0,triad_i,\n",
    "        fontsize=15,\n",
    "        font = 'Roboto',\n",
    "        fontweight=\"light\",\n",
    "        horizontalalignment=\"center\")\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a5e8405-afdb-454c-8abe-f22bd472f746",
   "metadata": {},
   "source": [
    "https://networkx.org/documentation/stable/auto_examples/graph/plot_triad_types.html"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
